Synopsis for Introduction to Probability
Number of lectures: 2 MT
Course Description
Highlights of measure theory. Random variables. Independence. Expectation and conditional expectation. Convergence. Law of large numbers. Characteristic functions. Central
Limit theorem. Martingales in discrete time.
Reading List
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Last updated by Destiny Chen on Mon, 01/10/2012 - 6:07pm.
This page is maintained by Waldemar Schlackow. Please use the contact form for feedback and comments.
This page is maintained by Waldemar Schlackow. Please use the contact form for feedback and comments.